Pandas Profiling Report

Dataset statistics

Number of variables	24
Number of observations	3799
Missing cells	7136
Missing cells (%)	7.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.3 MiB
Average record size in memory	631.6 B

Variable types

Numeric	11
Categorical	13

Alerts

`society` has a high cardinality: 676 distinct values	High cardinality
`sector` has a high cardinality: 113 distinct values	High cardinality
`areaWithType` has a high cardinality: 2355 distinct values	High cardinality
`price` is highly correlated with `property_type` and 3 other fields	High correlation
`price_per_sqft` is highly correlated with `price`	High correlation
`area` is highly correlated with `built_up_area` and 1 other fields	High correlation
`bedRoom` is highly correlated with `property_type` and 5 other fields	High correlation
`bathroom` is highly correlated with `property_type` and 5 other fields	High correlation
`super_built_up_area` is highly correlated with `price` and 3 other fields	High correlation
`built_up_area` is highly correlated with `area`	High correlation
`carpet_area` is highly correlated with `area`	High correlation
`servant room` is highly correlated with `bedRoom` and 2 other fields	High correlation
`property_type` is highly correlated with `price` and 4 other fields	High correlation
`balcony` is highly correlated with `bedRoom` and 1 other fields	High correlation
`floorNum` is highly correlated with `property_type`	High correlation
`agePossession` is highly correlated with `property_type`	High correlation
`facing` has 1104 (29.1%) missing values	Missing
`super_built_up_area` has 1886 (49.6%) missing values	Missing
`built_up_area` has 2067 (54.4%) missing values	Missing
`carpet_area` has 1858 (48.9%) missing values	Missing
`luxury_score` has 147 (3.9%) missing values	Missing
`area` is highly skewed (γ1 = 30.216827)	Skewed
`built_up_area` is highly skewed (γ1 = 41.20580346)	Skewed
`carpet_area` is highly skewed (γ1 = 24.77697875)	Skewed
`df_index` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`floorNum` has 134 (3.5%) zeros	Zeros
`luxury_score` has 457 (12.0%) zeros	Zeros

Reproduction

Analysis started	2023-09-12 19:23:41.771088
Analysis finished	2023-09-12 19:24:48.174621
Duration	1 minute and 6.4 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	3799
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1900.046065

Minimum	0
Maximum	3802
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	0
5-th percentile	189.9
Q1	949.5
median	1899
Q3	2851.5
95-th percentile	3612.1
Maximum	3802
Range	3802
Interquartile range (IQR)	1902

Descriptive statistics

Standard deviation	1098.081624
Coefficient of variation (CV)	0.5779236853
Kurtosis	-1.199926791
Mean	1900.046065
Median Absolute Deviation (MAD)	951
Skewness	0.001656186977
Sum	7218275
Variance	1205783.253
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
3327	1	< 0.1%
3303	1	< 0.1%
1258	1	< 0.1%
3307	1	< 0.1%
1262	1	< 0.1%
3311	1	< 0.1%
1266	1	< 0.1%
3315	1	< 0.1%
1270	1	< 0.1%
Other values (3789)	3789	99.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
3802	1	< 0.1%
3801	1	< 0.1%
3800	1	< 0.1%
3799	1	< 0.1%
3798	1	< 0.1%
3797	1	< 0.1%
3796	1	< 0.1%
3795	1	< 0.1%
3794	1	< 0.1%
3793	1	< 0.1%

property_type
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	227.3 KiB

flat	2939
house	860

Length

Max length	5
Median length	4
Mean length	4.226375362
Min length	4

Characters and Unicode

Total characters	16056
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	flat
2nd row	flat
3rd row	flat
4th row	flat
5th row	flat

Common Values

Value	Count	Frequency (%)
flat	2939	77.4%
house	860	22.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
flat	2939	77.4%
house	860	22.6%

Most occurring characters

Value	Count	Frequency (%)
f	2939	18.3%
l	2939	18.3%
a	2939	18.3%
t	2939	18.3%
h	860	5.4%
o	860	5.4%
u	860	5.4%
s	860	5.4%
e	860	5.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16056	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	2939	18.3%
l	2939	18.3%
a	2939	18.3%
t	2939	18.3%
h	860	5.4%
o	860	5.4%
u	860	5.4%
s	860	5.4%
e	860	5.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16056	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	2939	18.3%
l	2939	18.3%
a	2939	18.3%
t	2939	18.3%
h	860	5.4%
o	860	5.4%
u	860	5.4%
s	860	5.4%
e	860	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16056	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	2939	18.3%
l	2939	18.3%
a	2939	18.3%
t	2939	18.3%
h	860	5.4%
o	860	5.4%
u	860	5.4%
s	860	5.4%
e	860	5.4%

society
Categorical

HIGH CARDINALITY

Distinct	676
Distinct (%)	17.8%
Missing	1
Missing (%)	< 0.1%
Memory size	274.3 KiB

independent	486
tulip violet	75
ss the leaf	74
shapoorji pallonji joyville gurugram	44
dlf new town heights	42
Other values (671)	3077

Length

Max length	49
Median length	39
Mean length	16.9181148
Min length	1

Characters and Unicode

Total characters	64255
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	292 ?
Unique (%)	7.7%

Sample

1st row	signature global park 4
2nd row	smart world gems
3rd row	pyramid elite
4th row	breez global hill view
5th row	bestech park view sanskruti

Common Values

Value	Count	Frequency (%)
independent	486	12.8%
tulip violet	75	2.0%
ss the leaf	74	1.9%
shapoorji pallonji joyville gurugram	44	1.2%
dlf new town heights	42	1.1%
signature global park	37	1.0%
shree vardhman victoria	35	0.9%
smart world orchard	33	0.9%
emaar mgf emerald floors premier	32	0.8%
smart world gems	32	0.8%
Other values (666)	2908	76.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
independent	491	4.9%
the	362	3.6%
dlf	225	2.2%
park	219	2.2%
city	172	1.7%
global	165	1.6%
signature	161	1.6%
emaar	159	1.6%
m3m	156	1.6%
heights	138	1.4%
Other values (783)	7767	77.6%

Most occurring characters

Value	Count	Frequency (%)
e	6932	10.8%
	6219	9.7%
a	6084	9.5%
r	4348	6.8%
n	4268	6.6%
i	3965	6.2%
t	3848	6.0%
s	3621	5.6%
l	3066	4.8%
o	2861	4.5%
Other values (31)	19043	29.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	57470	89.4%
Space Separator	6219	9.7%
Decimal Number	548	0.9%
Other Punctuation	10	< 0.1%
Dash Punctuation	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6932	12.1%
a	6084	10.6%
r	4348	7.6%
n	4268	7.4%
i	3965	6.9%
t	3848	6.7%
s	3621	6.3%
l	3066	5.3%
o	2861	5.0%
d	2548	4.4%
Other values (16)	15929	27.7%

Decimal Number

Value	Count	Frequency (%)
3	216	39.4%
2	83	15.1%
1	76	13.9%
6	61	11.1%
8	34	6.2%
4	19	3.5%
5	17	3.1%
9	15	2.7%
7	14	2.6%
0	13	2.4%

Other Punctuation

Value	Count	Frequency (%)
,	7	70.0%
/	2	20.0%
.	1	10.0%

Space Separator

Value	Count	Frequency (%)
	6219	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	57470	89.4%
Common	6785	10.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6932	12.1%
a	6084	10.6%
r	4348	7.6%
n	4268	7.4%
i	3965	6.9%
t	3848	6.7%
s	3621	6.3%
l	3066	5.3%
o	2861	5.0%
d	2548	4.4%
Other values (16)	15929	27.7%

Common

Value	Count	Frequency (%)
	6219	91.7%
3	216	3.2%
2	83	1.2%
1	76	1.1%
6	61	0.9%
8	34	0.5%
4	19	0.3%
5	17	0.3%
9	15	0.2%
7	14	0.2%
Other values (5)	31	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64255	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6932	10.8%
	6219	9.7%
a	6084	9.5%
r	4348	6.8%
n	4268	6.6%
i	3965	6.2%
t	3848	6.0%
s	3621	5.6%
l	3066	4.8%
o	2861	4.5%
Other values (31)	19043	29.6%

sector
Categorical

HIGH CARDINALITY

Distinct	113
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	246.2 KiB

sohna road	163
sector 102	112
sector 85	110
sector 92	105
sector 69	94
Other values (108)	3215

Length

Max length	26
Median length	9
Mean length	9.323506186
Min length	7

Characters and Unicode

Total characters	35420
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	sector 36
2nd row	sector 89
3rd row	sector 86
4th row	sohna road
5th row	sector 92

Common Values

Value	Count	Frequency (%)
sohna road	163	4.3%
sector 102	112	2.9%
sector 85	110	2.9%
sector 92	105	2.8%
sector 69	94	2.5%
sector 65	90	2.4%
sector 90	90	2.4%
sector 81	90	2.4%
sector 109	88	2.3%
sector 79	80	2.1%
Other values (103)	2777	73.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sector	3565	46.7%
road	187	2.5%
sohna	175	2.3%
102	112	1.5%
85	110	1.4%
92	105	1.4%
69	94	1.2%
65	90	1.2%
90	90	1.2%
81	90	1.2%
Other values (106)	3010	39.5%

Most occurring characters

Value	Count	Frequency (%)
o	3938	11.1%
	3829	10.8%
s	3820	10.8%
r	3819	10.8%
e	3656	10.3%
c	3618	10.2%
t	3576	10.1%
1	1104	3.1%
0	825	2.3%
8	806	2.3%
Other values (21)	6429	18.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	24082	68.0%
Decimal Number	7509	21.2%
Space Separator	3829	10.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3938	16.4%
s	3820	15.9%
r	3819	15.9%
e	3656	15.2%
c	3618	15.0%
t	3576	14.8%
a	730	3.0%
d	263	1.1%
n	230	1.0%
h	213	0.9%
Other values (10)	219	0.9%

Decimal Number

Value	Count	Frequency (%)
1	1104	14.7%
0	825	11.0%
8	806	10.7%
9	803	10.7%
6	759	10.1%
7	707	9.4%
3	699	9.3%
2	698	9.3%
5	608	8.1%
4	500	6.7%

Space Separator

Value	Count	Frequency (%)
	3829	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	24082	68.0%
Common	11338	32.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3938	16.4%
s	3820	15.9%
r	3819	15.9%
e	3656	15.2%
c	3618	15.0%
t	3576	14.8%
a	730	3.0%
d	263	1.1%
n	230	1.0%
h	213	0.9%
Other values (10)	219	0.9%

Common

Value	Count	Frequency (%)
	3829	33.8%
1	1104	9.7%
0	825	7.3%
8	806	7.1%
9	803	7.1%
6	759	6.7%
7	707	6.2%
3	699	6.2%
2	698	6.2%
5	608	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	35420	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3938	11.1%
	3829	10.8%
s	3820	10.8%
r	3819	10.8%
e	3656	10.3%
c	3618	10.2%
t	3576	10.1%
1	1104	3.1%
0	825	2.3%
8	806	2.3%
Other values (21)	6429	18.2%

price
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	473
Distinct (%)	12.5%
Missing	18
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.507476858

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.94
median	1.5
Q3	2.7
95-th percentile	8.49
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.76

Descriptive statistics

Standard deviation	2.951218775
Coefficient of variation (CV)	1.176967502
Kurtosis	15.24237484
Mean	2.507476858
Median Absolute Deviation (MAD)	0.71
Skewness	3.309621269
Sum	9480.77
Variance	8.709692256
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	83	2.2%
0.9	68	1.8%
1.1	66	1.7%
1.2	66	1.7%
1.5	66	1.7%
1.4	63	1.7%
1.3	59	1.6%
2	56	1.5%
0.95	56	1.5%
1	51	1.3%
Other values (463)	3147	82.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.19	1	< 0.1%
0.2	9	0.2%
0.21	6	0.2%
0.22	9	0.2%
0.23	1	< 0.1%
0.24	7	0.2%
0.25	11	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	2651
Distinct (%)	70.1%
Missing	18
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	13806.58556

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	4
5-th percentile	4723
Q1	6808
median	9000
Q3	13769
95-th percentile	33333
Maximum	600000
Range	599996
Interquartile range (IQR)	6961

Descriptive statistics

Standard deviation	23063.24874
Coefficient of variation (CV)	1.670452745
Kurtosis	186.8598359
Mean	13806.58556
Median Absolute Deviation (MAD)	2764
Skewness	11.43378364
Sum	52202700
Variance	531913442.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	28	0.7%
8000	19	0.5%
12500	17	0.4%
5000	17	0.4%
6666	14	0.4%
11111	14	0.4%
7500	14	0.4%
8333	13	0.3%
22222	13	0.3%
6000	11	0.3%
Other values (2641)	3621	95.3%
(Missing)	18	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED

Distinct	1312
Distinct (%)	34.7%
Missing	18
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2847.559905

Minimum	50
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	50
5-th percentile	519
Q1	1224
median	1725
Q3	2295
95-th percentile	4200
Maximum	875000
Range	874950
Interquartile range (IQR)	1071

Descriptive statistics

Standard deviation	22795.33415
Coefficient of variation (CV)	8.005216715
Kurtosis	973.1635807
Mean	2847.559905
Median Absolute Deviation (MAD)	525
Skewness	30.216827
Sum	10766624
Variance	519627258.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	55	1.4%
1350	51	1.3%
1800	48	1.3%
1950	44	1.2%
3240	43	1.1%
2700	39	1.0%
900	39	1.0%
2000	35	0.9%
2250	25	0.7%
2400	25	0.7%
Other values (1302)	3377	88.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50	4	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%
76	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857	1	< 0.1%
620000	1	< 0.1%
566667	1	< 0.1%
215517	1	< 0.1%
98978	1	< 0.1%
82781	1	< 0.1%
65517	2	0.1%
65261	1	< 0.1%
58228	1	< 0.1%

areaWithType
Categorical

HIGH CARDINALITY

Distinct	2355
Distinct (%)	62.0%
Missing	0
Missing (%)	0.0%
Memory size	411.3 KiB

Plot area 360(301.01 sq.m.)	37
Plot area 300(250.84 sq.m.)	26
Plot area 200(167.23 sq.m.)	19
Plot area 502(419.74 sq.m.)	19
Super Built up area 1578(146.6 sq.m.)	17
Other values (2350)	3681

Length

Max length	124
Median length	119
Mean length	53.84337984
Min length	12

Characters and Unicode

Total characters	204551
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1784 ?
Unique (%)	47.0%

Sample

1st row	Super Built up area 1081(100.43 sq.m.)Carpet area: 650 sq.ft. (60.39 sq.m.)
2nd row	Carpet area: 1103 (102.47 sq.m.)
3rd row	Carpet area: 58141 (5401.48 sq.m.)
4th row	Built Up area: 1000 (92.9 sq.m.)Carpet area: 585 sq.ft. (54.35 sq.m.)
5th row	Super Built up area 1995(185.34 sq.m.)Built Up area: 1615 sq.ft. (150.04 sq.m.)Carpet area: 1476 sq.ft. (137.12 sq.m.)

Common Values

Value	Count	Frequency (%)
Plot area 360(301.01 sq.m.)	37	1.0%
Plot area 300(250.84 sq.m.)	26	0.7%
Plot area 200(167.23 sq.m.)	19	0.5%
Plot area 502(419.74 sq.m.)	19	0.5%
Super Built up area 1578(146.6 sq.m.)	17	0.4%
Plot area 270(225.75 sq.m.)	17	0.4%
Super Built up area 1950(181.16 sq.m.)Carpet area: 1161 sq.ft. (107.86 sq.m.)	17	0.4%
Super Built up area 1350(125.42 sq.m.)	17	0.4%
Super Built up area 1650(153.29 sq.m.)Carpet area: 1022.58 sq.ft. (95 sq.m.)	15	0.4%
Plot area 150(125.42 sq.m.)	14	0.4%
Other values (2345)	3601	94.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
area	5722	18.5%
sq.m	3775	12.2%
up	3099	10.0%
built	2390	7.7%
super	1913	6.2%
sq.ft	1777	5.7%
sq.m.)carpet	1206	3.9%
carpet	731	2.4%
sq.m.)built	707	2.3%
plot	682	2.2%
Other values (2846)	8955	28.9%

Most occurring characters

Value	Count	Frequency (%)
	27158	13.3%
.	20885	10.2%
a	13521	6.6%
r	9712	4.7%
e	9576	4.7%
1	9454	4.6%
s	7739	3.8%
q	7603	3.7%
t	7499	3.7%
p	6953	3.4%
Other values (25)	84451	41.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	84829	41.5%
Decimal Number	48371	23.6%
Space Separator	27158	13.3%
Other Punctuation	24012	11.7%
Uppercase Letter	8821	4.3%
Close Punctuation	5680	2.8%
Open Punctuation	5680	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13521	15.9%
r	9712	11.4%
e	9576	11.3%
s	7739	9.1%
q	7603	9.0%
t	7499	8.8%
p	6953	8.2%
u	6925	8.2%
m	5690	6.7%
l	3781	4.5%
Other values (5)	5830	6.9%

Decimal Number

Value	Count	Frequency (%)
1	9454	19.5%
0	6787	14.0%
2	5846	12.1%
5	4848	10.0%
3	4068	8.4%
4	3809	7.9%
6	3765	7.8%
7	3336	6.9%
8	3233	6.7%
9	3225	6.7%

Uppercase Letter

Value	Count	Frequency (%)
B	3099	35.1%
C	1941	22.0%
S	1913	21.7%
U	1186	13.4%
P	682	7.7%

Other Punctuation

Value	Count	Frequency (%)
.	20885	87.0%
:	3127	13.0%

Space Separator

Value	Count	Frequency (%)
	27158	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5680	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5680	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	110901	54.2%
Latin	93650	45.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13521	14.4%
r	9712	10.4%
e	9576	10.2%
s	7739	8.3%
q	7603	8.1%
t	7499	8.0%
p	6953	7.4%
u	6925	7.4%
m	5690	6.1%
l	3781	4.0%
Other values (10)	14651	15.6%

Common

Value	Count	Frequency (%)
	27158	24.5%
.	20885	18.8%
1	9454	8.5%
0	6787	6.1%
2	5846	5.3%
)	5680	5.1%
(	5680	5.1%
5	4848	4.4%
3	4068	3.7%
4	3809	3.4%
Other values (5)	16686	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	204551	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	27158	13.3%
.	20885	10.2%
a	13521	6.6%
r	9712	4.7%
e	9576	4.7%
1	9454	4.6%
s	7739	3.8%
q	7603	3.7%
t	7499	3.7%
p	6953	3.4%
Other values (25)	84451	41.3%

bedRoom
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.339036589

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.877313975
Coefficient of variation (CV)	0.5622322263
Kurtosis	18.59948716
Mean	3.339036589
Median Absolute Deviation (MAD)	1
Skewness	3.51084346
Sum	12685
Variance	3.52430776
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1545	40.7%
2	990	26.1%
4	675	17.8%
5	213	5.6%
1	130	3.4%
6	75	2.0%
9	41	1.1%
8	30	0.8%
12	28	0.7%
7	28	0.7%
Other values (9)	44	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	130	3.4%
2	990	26.1%
3	1545	40.7%
4	675	17.8%
5	213	5.6%
6	75	2.0%
7	28	0.7%
8	30	0.8%
9	41	1.1%
10	20	0.5%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.7%
11	1	< 0.1%
10	20	0.5%

bathroom
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.405896288

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.930609559
Coefficient of variation (CV)	0.5668433199
Kurtosis	17.75649285
Mean	3.405896288
Median Absolute Deviation (MAD)	1
Skewness	3.258740355
Sum	12939
Variance	3.727253271
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1112	29.3%
2	1102	29.0%
4	839	22.1%
5	299	7.9%
1	160	4.2%
6	119	3.1%
7	41	1.1%
9	41	1.1%
8	26	0.7%
12	22	0.6%
Other values (9)	38	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	160	4.2%
2	1102	29.0%
3	1112	29.3%
4	839	22.1%
5	299	7.9%
6	119	3.1%
7	41	1.1%
8	26	0.7%
9	41	1.1%
10	9	0.2%

Value	Count	Frequency (%)
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%
11	4	0.1%
10	9	0.2%

balcony
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	216.5 KiB

3+	1202
3	1110
2	921
1	376
0	190

Length

Max length	2
Median length	1
Mean length	1.316399052
Min length	1

Characters and Unicode

Total characters	5001
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	1
4th row	1
5th row	3+

Common Values

Value	Count	Frequency (%)
3+	1202	31.6%
3	1110	29.2%
2	921	24.2%
1	376	9.9%
0	190	5.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	2312	60.9%
2	921	24.2%
1	376	9.9%
0	190	5.0%

Most occurring characters

Value	Count	Frequency (%)
3	2312	46.2%
+	1202	24.0%
2	921	18.4%
1	376	7.5%
0	190	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3799	76.0%
Math Symbol	1202	24.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2312	60.9%
2	921	24.2%
1	376	9.9%
0	190	5.0%

Math Symbol

Value	Count	Frequency (%)
+	1202	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2312	46.2%
+	1202	24.0%
2	921	18.4%
1	376	7.5%
0	190	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2312	46.2%
+	1202	24.0%
2	921	18.4%
1	376	7.5%
0	190	3.8%

floorNum
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	43
Distinct (%)	1.1%
Missing	19
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.81031746

Minimum	0
Maximum	51
Zeros	134
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	10
95-th percentile	18
Maximum	51
Range	51
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.027742988
Coefficient of variation (CV)	0.8850898689
Kurtosis	4.555255785
Mean	6.81031746
Median Absolute Deviation (MAD)	3
Skewness	1.70027758
Sum	25743
Variance	36.33368553
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
3	513	13.5%
2	506	13.3%
1	363	9.6%
4	328	8.6%
8	197	5.2%
6	187	4.9%
10	186	4.9%
7	183	4.8%
5	177	4.7%
9	170	4.5%
Other values (33)	970	25.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	134	3.5%
1	363	9.6%
2	506	13.3%
3	513	13.5%
4	328	8.6%
5	177	4.7%
6	187	4.9%
7	183	4.8%
8	197	5.2%
9	170	4.5%

Value	Count	Frequency (%)
51	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	2	0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	4	0.1%

facing
Categorical

MISSING

Distinct	8
Distinct (%)	0.3%
Missing	1104
Missing (%)	29.1%
Memory size	202.6 KiB

East	640
North-East	638
North	398
West	255
South	233
Other values (3)	531

Length

Max length	10
Median length	5
Mean length	6.836734694
Min length	4

Characters and Unicode

Total characters	18425
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	North-West
2nd row	North-East
3rd row	North-East
4th row	East
5th row	North-East

Common Values

Value	Count	Frequency (%)
East	640	16.8%
North-East	638	16.8%
North	398	10.5%
West	255	6.7%
South	233	6.1%
North-West	200	5.3%
South-East	174	4.6%
South-West	157	4.1%
(Missing)	1104	29.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
east	640	23.7%
north-east	638	23.7%
north	398	14.8%
west	255	9.5%
south	233	8.6%
north-west	200	7.4%
south-east	174	6.5%
south-west	157	5.8%

Most occurring characters

Value	Count	Frequency (%)
t	3864	21.0%
s	2064	11.2%
o	1800	9.8%
h	1800	9.8%
E	1452	7.9%
a	1452	7.9%
N	1236	6.7%
r	1236	6.7%
-	1169	6.3%
W	612	3.3%
Other values (3)	1740	9.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13392	72.7%
Uppercase Letter	3864	21.0%
Dash Punctuation	1169	6.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3864	28.9%
s	2064	15.4%
o	1800	13.4%
h	1800	13.4%
a	1452	10.8%
r	1236	9.2%
e	612	4.6%
u	564	4.2%

Uppercase Letter

Value	Count	Frequency (%)
E	1452	37.6%
N	1236	32.0%
W	612	15.8%
S	564	14.6%

Dash Punctuation

Value	Count	Frequency (%)
-	1169	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17256	93.7%
Common	1169	6.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3864	22.4%
s	2064	12.0%
o	1800	10.4%
h	1800	10.4%
E	1452	8.4%
a	1452	8.4%
N	1236	7.2%
r	1236	7.2%
W	612	3.5%
e	612	3.5%
Other values (2)	1128	6.5%

Common

Value	Count	Frequency (%)
-	1169	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18425	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3864	21.0%
s	2064	11.2%
o	1800	9.8%
h	1800	9.8%
E	1452	7.9%
a	1452	7.9%
N	1236	6.7%
r	1236	6.7%
-	1169	6.3%
W	612	3.3%
Other values (3)	1740	9.4%

agePossession
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	261.2 KiB

Relatively New	1676
New Property	625
Moderately Old	575
Undefined	332
Old Property	310

Length

Max length	18
Median length	14
Mean length	13.36667544
Min length	9

Characters and Unicode

Total characters	50780
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	New Property
2nd row	New Property
3rd row	Under Construction
4th row	New Property
5th row	Relatively New

Common Values

Value	Count	Frequency (%)
Relatively New	1676	44.1%
New Property	625	16.5%
Moderately Old	575	15.1%
Undefined	332	8.7%
Old Property	310	8.2%
Under Construction	281	7.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
new	2301	31.7%
relatively	1676	23.1%
property	935	12.9%
old	885	12.2%
moderately	575	7.9%
undefined	332	4.6%
under	281	3.9%
construction	281	3.9%

Most occurring characters

Value	Count	Frequency (%)
e	8683	17.1%
l	4812	9.5%
t	3748	7.4%
	3467	6.8%
y	3186	6.3%
r	3007	5.9%
d	2405	4.7%
N	2301	4.5%
w	2301	4.5%
i	2289	4.5%
Other values (15)	14581	28.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	40047	78.9%
Uppercase Letter	7266	14.3%
Space Separator	3467	6.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8683	21.7%
l	4812	12.0%
t	3748	9.4%
y	3186	8.0%
r	3007	7.5%
d	2405	6.0%
w	2301	5.7%
i	2289	5.7%
a	2251	5.6%
o	2072	5.2%
Other values (7)	5293	13.2%

Uppercase Letter

Value	Count	Frequency (%)
N	2301	31.7%
R	1676	23.1%
P	935	12.9%
O	885	12.2%
U	613	8.4%
M	575	7.9%
C	281	3.9%

Space Separator

Value	Count	Frequency (%)
	3467	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	47313	93.2%
Common	3467	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8683	18.4%
l	4812	10.2%
t	3748	7.9%
y	3186	6.7%
r	3007	6.4%
d	2405	5.1%
N	2301	4.9%
w	2301	4.9%
i	2289	4.8%
a	2251	4.8%
Other values (14)	12330	26.1%

Common

Value	Count	Frequency (%)
	3467	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50780	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	8683	17.1%
l	4812	9.5%
t	3748	7.4%
	3467	6.8%
y	3186	6.3%
r	3007	5.9%
d	2405	4.7%
N	2301	4.5%
w	2301	4.5%
i	2289	4.5%
Other values (15)	14581	28.7%

super_built_up_area
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	593
Distinct (%)	31.0%
Missing	1886
Missing (%)	49.6%
Infinite	0
Infinite (%)	0.0%
Mean	1921.653189

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	89
5-th percentile	760.2
Q1	1457
median	1828
Q3	2215
95-th percentile	3187.8
Maximum	10000
Range	9911
Interquartile range (IQR)	758

Descriptive statistics

Standard deviation	767.0577436
Coefficient of variation (CV)	0.3991655456
Kurtosis	10.10218731
Mean	1921.653189
Median Absolute Deviation (MAD)	372
Skewness	1.825863791
Sum	3676122.55
Variance	588377.582
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	38	1.0%
1950	38	1.0%
2000	26	0.7%
1578	25	0.7%
2150	23	0.6%
1640	22	0.6%
2408	20	0.5%
1350	19	0.5%
1900	19	0.5%
1930	18	0.5%
Other values (583)	1665	43.8%
(Missing)	1886	49.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	2	0.1%
4848	2	0.1%

built_up_area
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED

Distinct	644
Distinct (%)	37.2%
Missing	2067
Missing (%)	54.4%
Infinite	0
Infinite (%)	0.0%
Mean	2361.075848

Minimum	2
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	2
5-th percentile	245.95
Q1	1100
median	1650
Q3	2399.25
95-th percentile	4663.5
Maximum	737147
Range	737145
Interquartile range (IQR)	1299.25

Descriptive statistics

Standard deviation	17724.68689
Coefficient of variation (CV)	7.507038331
Kurtosis	1709.127429
Mean	2361.075848
Median Absolute Deviation (MAD)	641.5
Skewness	41.20580346
Sum	4089383.369
Variance	314164525.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	41	1.1%
3240	37	1.0%
1350	34	0.9%
1900	34	0.9%
2700	33	0.9%
900	28	0.7%
1600	26	0.7%
2000	25	0.7%
1300	25	0.7%
1700	23	0.6%
Other values (634)	1426	37.5%
(Missing)	2067	54.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	< 0.1%
14	1	< 0.1%
30	1	< 0.1%
33	1	< 0.1%
50	3	0.1%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	5	0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
13500	1	< 0.1%
11286	1	< 0.1%
9500	1	< 0.1%
9000	7	0.2%
8775	1	< 0.1%
8286	1	< 0.1%
8067.8	1	< 0.1%
8000	1	< 0.1%
7500	2	0.1%

carpet_area
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED

Distinct	733
Distinct (%)	37.8%
Missing	1858
Missing (%)	48.9%
Infinite	0
Infinite (%)	0.0%
Mean	2486.290952

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	15
5-th percentile	348
Q1	830
median	1295
Q3	1790
95-th percentile	2950
Maximum	607936
Range	607921
Interquartile range (IQR)	960

Descriptive statistics

Standard deviation	22392.41749
Coefficient of variation (CV)	9.006354412
Kurtosis	626.8688104
Mean	2486.290952
Median Absolute Deviation (MAD)	473
Skewness	24.77697875
Sum	4825890.738
Variance	501420360.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1800	36	0.9%
1600	36	0.9%
1200	32	0.8%
1500	30	0.8%
1350	28	0.7%
1650	28	0.7%
1450	23	0.6%
1300	23	0.6%
1000	22	0.6%
Other values (723)	1641	43.2%
(Missing)	1858	48.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	2	0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	215.3 KiB

0	3079
1	720

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3799
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3079	81.0%
1	720	19.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	3079	81.0%
1	720	19.0%

Most occurring characters

Value	Count	Frequency (%)
0	3079	81.0%
1	720	19.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3799	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3079	81.0%
1	720	19.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3799	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3079	81.0%
1	720	19.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3799	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3079	81.0%
1	720	19.0%

servant room
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	215.3 KiB

0	2443
1	1356

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3799
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2443	64.3%
1	1356	35.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	2443	64.3%
1	1356	35.7%

Most occurring characters

Value	Count	Frequency (%)
0	2443	64.3%
1	1356	35.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3799	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2443	64.3%
1	1356	35.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	3799	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2443	64.3%
1	1356	35.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3799	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2443	64.3%
1	1356	35.7%

store room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	215.3 KiB

0	3455
1	344

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3799
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3455	90.9%
1	344	9.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	3455	90.9%
1	344	9.1%

Most occurring characters

Value	Count	Frequency (%)
0	3455	90.9%
1	344	9.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3799	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3455	90.9%
1	344	9.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3799	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3455	90.9%
1	344	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3799	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3455	90.9%
1	344	9.1%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	215.3 KiB

0	3136
1	663

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3799
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3136	82.5%
1	663	17.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	3136	82.5%
1	663	17.5%

Most occurring characters

Value	Count	Frequency (%)
0	3136	82.5%
1	663	17.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3799	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3136	82.5%
1	663	17.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	3799	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3136	82.5%
1	663	17.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3799	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3136	82.5%
1	663	17.5%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	215.3 KiB

0	3379
1	420

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3799
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	3379	88.9%
1	420	11.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	3379	88.9%
1	420	11.1%

Most occurring characters

Value	Count	Frequency (%)
0	3379	88.9%
1	420	11.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3799	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3379	88.9%
1	420	11.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3799	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3379	88.9%
1	420	11.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3799	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3379	88.9%
1	420	11.1%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	215.3 KiB

0	2505
1	1078
2	216

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3799
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2505	65.9%
1	1078	28.4%
2	216	5.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	2505	65.9%
1	1078	28.4%
2	216	5.7%

Most occurring characters

Value	Count	Frequency (%)
0	2505	65.9%
1	1078	28.4%
2	216	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3799	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2505	65.9%
1	1078	28.4%
2	216	5.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	3799	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2505	65.9%
1	1078	28.4%
2	216	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3799	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2505	65.9%
1	1078	28.4%
2	216	5.7%

luxury_score
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	161
Distinct (%)	4.4%
Missing	147
Missing (%)	3.9%
Infinite	0
Infinite (%)	0.0%
Mean	71.26286966

Minimum	0
Maximum	174
Zeros	457
Zeros (%)	12.0%
Negative	0
Negative (%)	0.0%
Memory size	29.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	32
median	59
Q3	109.25
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	77.25

Descriptive statistics

Standard deviation	52.73792625
Coefficient of variation (CV)	0.7400477485
Kurtosis	-0.8532173463
Mean	71.26286966
Median Absolute Deviation (MAD)	37
Skewness	0.4671366724
Sum	260252
Variance	2781.288865
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	457	12.0%
49	342	9.0%
174	192	5.1%
44	60	1.6%
38	58	1.5%
72	56	1.5%
165	53	1.4%
37	48	1.3%
60	48	1.3%
45	44	1.2%
Other values (151)	2294	60.4%
(Missing)	147	3.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	457	12.0%
5	6	0.2%
6	6	0.2%
7	41	1.1%
8	26	0.7%
9	9	0.2%
12	7	0.2%
13	10	0.3%
14	12	0.3%
15	42	1.1%

Value	Count	Frequency (%)
174	192	5.1%
169	1	< 0.1%
168	8	0.2%
167	20	0.5%
166	10	0.3%
165	53	1.4%
161	3	0.1%
160	27	0.7%
159	21	0.6%
158	31	0.8%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	df_index	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	others	furnishing_type	luxury_score
0	0	flat	signature global park 4	sector 36	0.82	7585.0	1081.0	Super Built up area 1081(100.43 sq.m.)Carpet area: 650 sq.ft. (60.39 sq.m.)	3	2	2	2.0	NaN	New Property	1081.0	NaN	650.0	0	0	0	0	0	0	8.0
1	1	flat	smart world gems	sector 89	0.95	8600.0	1105.0	Carpet area: 1103 (102.47 sq.m.)	2	2	2	4.0	NaN	New Property	NaN	NaN	1103.0	1	1	0	0	0	0	38.0
2	2	flat	pyramid elite	sector 86	0.46	79.0	58228.0	Carpet area: 58141 (5401.48 sq.m.)	2	2	1	0.0	NaN	Under Construction	NaN	NaN	58141.0	0	0	0	0	0	0	15.0
3	3	flat	breez global hill view	sohna road	0.32	5470.0	585.0	Built Up area: 1000 (92.9 sq.m.)Carpet area: 585 sq.ft. (54.35 sq.m.)	2	2	1	17.0	NaN	New Property	NaN	1000.00	585.0	0	0	0	0	0	0	49.0
4	4	flat	bestech park view sanskruti	sector 92	1.60	8020.0	1995.0	Super Built up area 1995(185.34 sq.m.)Built Up area: 1615 sq.ft. (150.04 sq.m.)Carpet area: 1476 sq.ft. (137.12 sq.m.)	3	4	3+	10.0	North-West	Relatively New	1995.0	1615.00	1476.0	0	1	0	0	1	1	174.0
5	5	flat	suncity avenue	sector 102	0.48	9022.0	532.0	Super Built up area 632(58.71 sq.m.)Carpet area: 532 sq.ft. (49.42 sq.m.)	2	2	1	5.0	North-East	Relatively New	632.0	NaN	532.0	0	0	1	0	0	0	159.0
6	6	flat	paras quartier	gwal pahari	7.50	14018.0	5350.0	Super Built up area 5350(497.03 sq.m.)	4	4	3+	20.0	North-East	New Property	5350.0	NaN	NaN	0	1	0	1	1	1	49.0
7	7	flat	experion the heartsong	sector 108	2.00	8554.0	2338.0	Super Built up area 2338(217.21 sq.m.)	3	3	3+	14.0	East	Relatively New	2338.0	NaN	NaN	0	1	0	0	0	0	95.0
8	8	flat	adani m2k oyster grande	sector 102	1.90	9105.0	2087.0	Super Built up area 1889(175.49 sq.m.)	3	4	3	8.0	North-East	Relatively New	1889.0	NaN	NaN	0	1	0	0	0	0	165.0
9	9	house	independent	sector 105	1.20	10122.0	1186.0	Plot area 1185.51(110.14 sq.m.)	6	2	1	2.0	North-West	Old Property	NaN	1185.51	NaN	0	0	0	0	0	0	9.0

Last rows

	df_index	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	furnishing_type	luxury_score
3789	3793	flat	gls arawali homes	sohna road	0.27	4687.0	576.0	Carpet area: 576 (53.51 sq.m.)	2	2	2	1.0	East	New Property	NaN	NaN	576.0	0	0	0	0	0	NaN
3790	3794	house	independent	sector 27	8.00	26298.0	3042.0	Plot area 338(282.61 sq.m.)	9	9	3	4.0	North-East	Relatively New	NaN	3042.0	NaN	1	1	1	1	2	NaN
3791	3795	flat	eldeco accolade	sohna road	0.87	5965.0	1459.0	Super Built up area 1457(135.36 sq.m.)Carpet area: 849 sq.ft. (78.87 sq.m.)	2	2	3+	10.0	NaN	Relatively New	1457.0	NaN	849.0	1	0	0	0	0	NaN
3792	3796	flat	paras dews	sector 106	0.92	6642.0	1385.0	Super Built up area 1385(128.67 sq.m.)Built Up area: 940 sq.ft. (87.33 sq.m.)Carpet area: 845 sq.ft. (78.5 sq.m.)	2	2	3+	2.0	East	Relatively New	1385.0	940.0	845.0	0	0	0	0	0	NaN
3793	3797	house	surendra homes dayaindependentd colony	sector 6	0.75	15625.0	480.0	Built Up area: 480 (44.59 sq.m.)	4	4	2	1.0	NaN	Undefined	NaN	480.0	NaN	0	0	0	0	0	NaN
3794	3798	flat	pivotal devaan	sector 84	0.37	6346.0	583.0	Super Built up area 583(54.16 sq.m.)Carpet area: 483 sq.ft. (44.87 sq.m.)	2	2	1	5.0	North-West	Relatively New	583.0	NaN	483.0	0	0	0	0	0	NaN
3795	3799	house	international city by sobha phase 1	sector 109	6.00	9634.0	6228.0	Plot area 692(578.6 sq.m.)	5	5	3+	2.0	South-West	Relatively New	NaN	6228.0	NaN	1	1	1	1	0	NaN
3796	3800	flat	ansal api celebrity suites	sector 2	0.60	8163.0	735.0	Super Built up area 735(68.28 sq.m.)	1	1	1	5.0	North-East	Moderately Old	735.0	NaN	NaN	0	0	0	0	1	NaN
3797	3801	house	independent	sector 43	15.50	28233.0	5490.0	Plot area 610(510.04 sq.m.)	5	6	3	3.0	East	Moderately Old	NaN	5490.0	NaN	1	1	1	1	0	NaN
3798	3802	flat	m3m ikonic	sector 68	1.78	9128.0	1950.0	Super Built up area 1950(181.16 sq.m.)Built Up area: 1845 sq.ft. (171.41 sq.m.)Carpet area: 1530 sq.ft. (142.14 sq.m.)	3	3	3+	27.0	South	Relatively New	1950.0	1845.0	1530.0	0	0	0	0	1	NaN

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Math Symbol

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII